Higher order likelihood-based inference for logistic and loglinear models

Package: | cond |

Version: | 1.2-0 |

Date: | 2009-10-03 |

Depends: | R (>= 2.6.0), statmod, survival |

Suggests: | csampling, marg, nlreg |

License: | GPL (>= 2) |

URL: | http://www.r-project.org, http://statwww.epfl.ch/AA/ |

LazyLoad: | yes |

LazyData: | yes |

Index:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ```
Functions:
=========
cond Approximate Conditional Inference - Generic
Function
cond.glm Approximate Conditional Inference for Logistic
and Loglinear Models
cond.object Approximate Conditional Inference Object
family.cond Use family() on a "cond" object
family.summary.cond Use family() on a "summary.cond" object
plot.cond Generate Plots for an Approximate Conditional
Inference Object
print.summary.cond Use print() on a "summary.cond" object
summary.cond Summary Method for Objects of Class "cond"
Datasets:
========
aids AIDS Symptoms and AZT Use Data
airway Airway Data
babies Crying Babies Data
dormicum Dormicum Data
fraudulent Fraudulent Automobile Insurance Claims Data
fungal Fungal Infections Treatment Data
rabbits Rabbits Data
urine Urine Data
``` |

Further information is available in the following vignettes:

`Rnews-paper` | hoa: An R Package Bundle for Higher Order Likelihood Inference (source, pdf) |

S original by Alessandra R. Brazzale <[email protected]>. R port by Alessandra R. Brazzale <[email protected]>, following earlier work by Douglas Bates.

Maintainer: Alessandra R. Brazzale <[email protected]>

cond documentation built on April 16, 2018, 5:05 p.m.

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